{"id":"W4213184823","doi":"10.1016/j.omtm.2022.02.004","title":"Clinically relevant T cell expansion media activate distinct metabolic programs uncoupled from cellular function","year":2022,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stemcell Technologies; University of Victoria","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Victoria University; Cancer Prevention and Research Institute of Texas","keywords":"Ex vivo; Glutamine; In vivo; Phenotype; Function (biology); Cell biology; Cell growth; Biology; Cell; T cell; Carbohydrate metabolism; Metabolism; Cancer research; Biochemistry; Immunology; Immune system; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927408,0.0004798686,0.000224744,0.0002817175,0.0001378918,0.0005429209,0.000156509,0.0002541811,0.00172427],"category_scores_gemma":[0.0003464255,0.0001146912,0.0001549843,0.0001983661,0.0002505248,0.0002779748,0.0003190943,0.0005616875,0.0003941878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813344,"about_ca_system_score_gemma":0.0002324883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001503212,"about_ca_topic_score_gemma":0.0003130575,"domain_scores_codex":[0.9997595,0.00008578234,0.00002510954,0.00003655355,0.00006126526,0.00003179197],"domain_scores_gemma":[0.9998281,0.00007205419,0.00003703942,0.00001542086,0.00002368119,0.00002360029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000561721,0.0001248838,0.0004836014,0.0001063739,0.000006614662,0.00006432939,0.00005017709,0.0002384767,0.9929848,0.0001743873,0.0001100749,0.005094623],"study_design_scores_gemma":[0.00002723206,0.000672436,0.001311076,0.00001287489,0.00002088173,0.0001367246,0.00003496619,0.0003674772,0.9951903,0.00003999213,0.002180722,0.000005210043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827691,0.003336612,0.009027463,0.0001447402,0.00008281089,0.0001686686,0.0004857101,0.0001662455,0.003818807],"genre_scores_gemma":[0.982632,0.002290623,0.01141784,0.0001241824,0.00004173952,0.0003009983,0.0008342491,0.00006474392,0.002293628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00172427,"threshold_uncertainty_score":0.005768239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09640898408945156,"score_gpt":0.4155556623956408,"score_spread":0.3191466783061893,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}